Can AI Rebuild the $1 Trillion Construction Industry?

Construction is one of the largest industries in the world, yet most projects still run on Excel sheets, fragmented tools, and disconnected workflows.
Sneha Kumari (Co-founder, Merlin) and Graham Blake (CPO, Merlin) break down why construction has remained one of the least digitized industries and why that is finally starting to change.

We explore why traditional ERP systems like NetSuite or Dynamics fail construction companies, how Merlin is rethinking enterprise software for builders, and why AI may finally make it possible to coordinate the massive complexity behind modern construction projects.

Sneha also shares her journey from industry operator to first-time founder, how Merlin found early product-market fit, the power of word-of-mouth growth in construction, and what it takes to build a vertical SaaS company in a “non-sexy” but trillion-dollar industry.

If you're curious about how AI can transform deep, complex industries this conversation is for you.

00:00 – Trailer
00:40 – Merlin x Neon
02:07 – Software for construction
04:37 – What convinced Graham to join
06:25 – Founder insights that discovered the pain points
08:43 – The team behind Merlin
10:15 – Challenges of building tech in construction
11:51 – Biggest pain points for Merlin’s customers
17:16 – Does ERP need a revolution?
17:55 – Merlin’s end-to-end ERP approach
20:39 – Why customers aren’t happy with existing solutions
24:36 – Why an AI-native approach makes sense
28:23 – What % of construction budget goes to tech
30:37 – How Y Combinator changed a first-time founder
31:50 – The role Neon played in Merlin
33:34 – Current players that excite the founders
36:43 – What it takes for Merlin to reach $10M ARR
39:57 – How to build with zero sales constraints
43:06 – Why become a founder?
45:56 – Build only for an industry you truly understand
47:41 – Why construction over manufacturing
48:38 – When customer called previous software a “black box”

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India’s talent has built the world’s tech—now it’s time to lead it.
This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.

What is Neon Fund?
We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.
Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.

-------------

Check us out on:
Website: https://neon.fund/
Instagram: https://www.instagram.com/theneonshoww/
LinkedIn: https://www.linkedin.com/company/beneon/
Twitter: https://x.com/TheNeonShoww

Connect with Siddhartha on:
LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/
Twitter: https://x.com/siddharthaa7

-------------

This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

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What if the biggest mistake you can make as a founder is signing Apple as your first customer?

Manish Jindal spent 10 years at Cloudflare as employee #45, helping take the company from $10 million revenue to a $60 billion public company. Manish breaks down the Cloudflare playbook: why they intentionally said “no” to Fortune 500 companies early on to protect their product, and how a single phone call from a CIO birthed their entire enterprise motion.

Throughout his career, Manish has joined companies that already showed early product–market fit in large markets, allowing him to spend a decade helping scale them. Now as the President at Arize, he is building the “plumbing” that allows giants like Walmart and Uber to move from building AI agents to real-world production.

We discuss why “boring” infrastructure is a more durable bet than flashy AI apps, and why owning the data remains the ultimate competitive edge. Manish also shares insights on building Go-To-Market (GTM) teams in the Cloudflare era and how that strategy has shifted in the AI era.

If you are a founder or leader trying to scale a startup, this episode with Manish Jindal is for you.

00:00 – Trailer
01:00 – How Manish chose companies with early PMF
03:45 – Founder’s belief is most important
04:35 – Entering dev tooling when it wasn't popular
08:20 – Never leave a Co. you believe in for wrong reasons
09:45 – The “boring” industries that do well in Long run
12:40 – It’s easy to build an agent, but hard to scale one
15:06 – Why infra won’t be winner-take-all
18:02 – The keepers of data will win
20:20 – From million to billion in Cloudflare’s journey
21:32 – The “holy sh*t” moment happens fast for Cloudflare
24:30 – The CIO call that led to Cloudflare’s enterprise plan
27:04 – $50M and $100M ARR path of Cloudflare
28:33 – Build enterprise motion slowly or aggressively?
29:51 – Why Cloudflare didn’t want Apple as customer
32:10 – Early PMF at Splunk, Cloudflare, and Arize
35:40 – Choosing only decade-long stints
39:01 – Why Manish didn’t start his own company
43:37 – How GTM has changed in the AI world
54:25 – What agents need to work well in production
01:00:51 – Which enterprise use cases qualify for AI?
01:03:52 – What went wrong with Air Canada Agent?
01:04:52 – How customers are discovered
01:09:01 – Claude & Cursor are the most powerful agents today
01:10:55 – How Manish chooses companies to invest in
01:15:15 – Why acquisitions will become the Norm
01:18:35 – Technology is not a moat anymore

-------------

India’s talent has built the world’s tech—now it’s time to lead it.
This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.

What is Neon Fund?
We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.

Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.

-------------

Check us out on:
Website: https://neon.fund/
Instagram: https://www.instagram.com/theneonshoww/
LinkedIn: https://www.linkedin.com/company/beneon/
Twitter: https://x.com/TheNeonShoww

Connect with Siddhartha on:
LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/
Twitter: https://x.com/siddharthaa7

-------------

This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

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What does it look like to run the same playbook across five venture funds?

That is the bet Ashmeet Sidana has made at Engineering Capital. From Fund One to Fund Five, he has written the first check into founders solving problems with Technical insight.

His portfolio includes Rubrik, now a public company, SignalFx which was acquired by Splunk for $1 billion, and CodeRabbit, last valued at $550 million. Ashmeet runs Engineering Capital as a solo GP and the fund has been oversubscribed since Fund One.

Ashmeet says that the most common way technical founders fail is by “playing house.” Founders who build beautifully organized systems and clean processes, but don’t obsessively seek product market fit. His view is that founders should ruthlessly prioritize finding PMF above everything else.

Ashmeet is an investor who has seen enough cycles to know what actually compounds, and is still early-stage enough to care about the details that most people have moved past.

00:00 – Trailer
01:15 – Where does Engineering Capital place its bets?
10:07 – How the VC landscape has evolved
11:20 – Are technical founders the norm in AI?
16:23 – Why the name Engineering Capital?
16:50 – What every VC looks for in a founder
21:34 – Why Founders Choose Your Term Sheet
26:26 – Rule of 1-2 in-person meetings daily with founders
31:42 – Does AI give younger founders an edge?
32:59 – Founders must ruthlessly prioritize
35:58 – The trap of “playing house”
37:40 – PMF can change overnight, Ex: Facebook
40:13 – 1 in 10 companies fail due to lack of PMF
43:17 – The most valuable skill a founder can have
44:19 – Why have a Chief Engineer at a VC firm?
45:44 – The job of every CEO is to learn
46:09 – Solo founders are much riskier
48:15 – An accidental entry into VC
49:52 – Solo GP: risks and rewards
53:34 – $250M across funds
54:43 – Why solo GPs work better in the US
58:25 – Where Ashmeet’s portfolio companies are located
01:00:57 – Be very careful of vanity metrics
01:02:15 – Vibe coding will change the face of software
01:03:36 – Don’t chase trends in how companies are built
01:05:58 – $100M ARR is the outcome of a strong package
01:06:35 – How affordable is Bay Area for young founders?
01:11:32 – AlexNet, not ChatGPT, was the real AI inflection point
01:12:57 – US Public Companies Are Down 50% in 40 years

-------------

India’s talent has built the world’s tech—now it’s time to lead it.
This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.

What is Neon Fund?
We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.

Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.

-------------

Check us out on:
Website: https://neon.fund/
Instagram: https://www.instagram.com/theneonshoww/
LinkedIn: https://www.linkedin.com/company/beneon/
Twitter: https://x.com/TheNeonShoww

Connect with Siddhartha on:
LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/
Twitter: https://x.com/siddharthaa7

-------------

This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

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Over 1 Trillion AI tokens pass through Portkey every single day.

Every AI product eventually runs into the same problem. The prototype works, but once it goes live the system has to manage multiple models, rising token costs, unpredictable latency, and infrastructure that was never built for AI workloads.

That is the problem Rohit Agarwal is solving with Portkey, an AI gateway that sits between applications and the models, whether that’s GPT-4, Claude, or Gemini.

With 24,000 companies routing their AI through Portkey, Rohit sits on ground-level data on how AI is actually being used in production. Which models enterprises are betting on. Where costs are quietly climbing. How usage patterns shift as companies move from pilots to real products.

When AI spend surpasses cloud spend, and Rohit believes it will, the infrastructure running underneath it becomes one of the most important bets in tech. This episode explores what it takes to run AI systems at that scale.

00:00 – Trailer
01:05 – 500 billion AI tokens every day
04:05 – First to call an "AI gateway"
07:26 – Where did the Gateway insight come from?
12:08 – How Portkey is winning this space
13:05 – Picking the right gambles over wrong ones
14:16 – What are LLM endpoints?
15:21 – AI will 100% surpass cloud spend
19:00 – Hype is coming from people still in Q&A mode
19:33 – AI employees over humans in customer support?
23:00 – For AI startups, traffic > revenue
24:43 – The bubble is in valuations, not utility
26:05 – How Rohit built his personal automations
28:38 – Costliest model is most used now
33:21 – What's going right and wrong for AI companies
37:49 – Hiring a VP of sales after $15M is possible today
39:57 – What edge does Claude have over other models?
43:35 – Founders need a "why me vs. why Anthropic" story
52:56 – What if Anthropic or AWS builds a gateway?
55:41 – Predictions for the next 12 months
59:40 – How big is the opportunity in Agents?
01:00:48 – Startups now have to prove it's not a weekend project
01:01:54 – Is Build v/s Buy no longer a Debate?
01:03:50 – What would Rohit build if starting up today?
01:05:58 – How Portkey is different from an API gateway
01:08:26 – MCP / tool calling enables agentic workflows
01:12:00 – Portkey's Community-driven early GTM
01:13:34 – Startups have only 2 reasons for Open core

-------------

India’s talent has built the world’s tech—now it’s time to lead it.
This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.

What is Neon Fund?
We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.

Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.

-------------

Check us out on:
Website: https://neon.fund/
Instagram: https://www.instagram.com/theneonshoww/
LinkedIn: https://www.linkedin.com/company/beneon/
Twitter: https://x.com/TheNeonShoww

Connect with Siddhartha on:
LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/
Twitter: https://x.com/siddharthaa7

-------------

This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

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Is the best grocery platform one that decides what it WON’T sell?

That is the bet Ayyappan is making with FirstClub. Fewer products. Stricter rules. While most quick commerce apps are trying to deliver orders faster, he is asking a different question. What if consumers need not “faster or cheaper”, but a retail platform where they can trust every item listed on it?

A place where you do not have to read every label, check multiple reviews, or wonder if the top result is there because a brand paid for it. FirstClub is trying to solve a harder problem. It is trying to define what “quality” means for everyday products we consume, starting with groceries.

India has received the highest quick commerce funding of any country in the world, at $9.24B over the last 10 years. Yet only 1% of Indians use quick commerce services today. With a large market still open for expansion and the possibility of better unit economics over time, FirstClub is building a countertrend to the hype around Indian quick commerce.

Ayyappan brings eleven years of experience at Flipkart, and has also served as SVP at Myntra and CEO of Cleartrip. This episode is the story till here and the plans ahead for Firstclub.

00:00 – Trailer
01:01 – The Costco of Indian quick commerce
04:32 – Building a counter-trend company
06:15 – What consumers say v/s what they actually want
09:37 – The only retail platform to Ban 200 ingredients
12:34 – Why can’t the big players solve this?
13:21 – A simple rule of thumb for food
16:03 – Brand stories from FirstClub
19:20 – Is the problem access or income?
21:29 – Who are the 20 million FirstClub consumers?
24:14 – Only 1% of India uses quick commerce
26:04 – What does “quality” mean in grocery?
32:34 – How will FirstClub monetize without brand sponsorships?
34:53 – Do consumers behave differently across categories?
39:30 – Why is Myntra so powerful in fashion?
42:24 – What Myntra taught Ayyapan that Flipkart didn’t?
43:53 – Unlearning to build for Quick commerce
48:25 – Why Indian consumers are very experimental today
50:59 – Is India one country when it comes to quality?
52:43 – If Ayyappan was a product, what would he be?
54:47 – The hardest belief to defend while building FirstClub
56:26 – Akshayakalpa & The Whole Truth
57:48 – Not niche, but premium

-------------

India’s talent has built the world’s tech—now it’s time to lead it.

This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.

What is Neon Fund?
We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.

Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.

-------------

Check us out on:

Website: https://neon.fund/
Instagram: https://www.instagram.com/theneonshoww/
LinkedIn: https://www.linkedin.com/company/neon-fund/
X: https://x.com/TheNeonShoww

Connect with Nansi on:

LinkedIn: https://in.linkedin.com/in/nansi-mishra
X: https://x.com/nansi_mishra

-------------

This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

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Will smaller AI models win over large language models?

Sudarshan Kamath grew up in Mumbai, taught himself AI before most Indian companies were even hiring for it, and bought the domain "smallest.ai" for $100 in 2022, two years before the company existed. Today, he runs Smallest AI, a startup focused on real time voice AI.

He started with self-driving cars, training large models and compressing them to run on vehicle hardware in real time. That's where he first saw what small models could do: a hundredth of the size, almost no loss in accuracy.

Two years later he put in his own $150K, got some GPUs, and started training. Eighteen months later he had a seed round, a Series A, a seven-figure enterprise deal, and a $150M acquisition offer he turned down.

Most of the data that goes into large models is noise. Strip it out, train small, and you get a model that matches a giant at a fraction of the size and runs in real time. That insight is what Smallest AI is built on.

00:00 – Trailer
00:51 – Sudarshan's journey before Smallest AI
05:00 – Arjun Jain & Yann LeCun
08:20 – Why build in voice AI in 2024?
15:09 – Why move the company from India to the US?
17:25 – Hiring talent via LinkedIn and X
18:49 – What large US funds actually bring to startups
21:03 – Raising a seed round with zero revenue
26:06 – Strong intros from US VCs
28:23 – What the first enterprise customer teaches you
31:50 – Raising Series A with Seligman Ventures
32:19 – The $150M acquisition offer
34:32 – When should founders sell secondaries?
36:24 – Who are Smallest AI's customers?
38:28 – What are state space models?
40:16 – Are GEPA models closer to AGI?
41:23 – Growing 10× in three months
48:03 – This is not a winner-takes-all market
49:32 – Why this is a trillion-dollar market
50:08 – Why large AI labs are not building in voice
51:26 – What it takes to reach $100M ARR
54:21 – The biggest goal for 2026
57:11 – Voice costs 1000× more than text
01:02:04 – How Smallest AI cracked large enterprises

-------------

India’s talent has built the world’s tech—now it’s time to lead it.
This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.

What is Neon Fund?
We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.
Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.

-------------

Check us out on:
Website: https://neon.fund/
Instagram: https://www.instagram.com/theneonshoww/
LinkedIn: https://www.linkedin.com/company/beneon/
Twitter: https://x.com/TheNeonShoww

Connect with Siddhartha on:
LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/
Twitter: https://x.com/siddharthaa7

-------------

This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

Send us Fan Mail

What if AI can learn the “why” behind decision making of humans?

Ashu Garg and Jaya Gupta recently wrote one of the most discussed articles on AI this year. Their idea drew public responses from Dharmesh Shah, Aaron Levie, and Arvind Jain.

Enterprise software has always captured what happened. It records the order, the ticket, and the approval. But it has never captured why it happened. It does not store the reasoning, the exception, or the past decisions that shaped the outcome. Ashu argues that this missing layer is the biggest opportunity in enterprise AI right now, and that the startups that capture it will be the biggest winners in AI.

In this episode, we go deeper into what context graphs really are, how they get built, why startups have an edge over incumbents, and how close we are to seeing this work in practice.

00:00 – Trailer
00:32 – What are context graphs?
02:48 – Why agents haven't lived up to the hype?
05:18 – The "why" of Decision Making
08:17 – How agents will store data for context graphs
10:38 – What will be possible for Digital twins?
14:02 – Can context graphs reveal a company's moat?
15:50 – Guardrails on Access for agents
19:50 – Managing agents vs being managed by agents
23:01 – Will winners be vertical or horizontal players?
25:56 – The future is agent swarms
28:43 – Finding PMF is what makes a great CEO
31:40 – What will set apart successful enterprises of 2030
33:44 – Where Foundation Capital is investing
35:16 – Why AI won't be winner-takes-all
37:38 – Where will the context graph reside?
40:45 – Will systems of record be replaced?
42:42 – Human in the loop → hands-off execution
44:46 – A reality check on where we are today
46:43 – Where startups will win in orchestration

-------------

India’s talent has built the world’s tech—now it’s time to lead it.
This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.

What is Neon Fund?
We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.

Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.

-------------

Check us out on:
Website: https://neon.fund/
Instagram: https://www.instagram.com/theneonshoww/
LinkedIn: https://www.linkedin.com/company/beneon/
Twitter: https://x.com/TheNeonShoww

Connect with Siddhartha on:
LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/
Twitter: https://x.com/siddharthaa7

-------------

This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

Send us Fan Mail

Samay Kohli spent 12 years at GreyOrange, scaling it to over $100 million in revenue and a $3 billion valuation at its peak, making it one of the world’s largest warehouse robotics companies. Two years ago, he started again with Budy, this time in the US senior care industry.

In this industry, decisions are emotional, sales cycles can run for years, and multiple stakeholders are involved. While the market sits at the intersection of real estate, healthcare, and hospitality, most sales still depend on manual follow-ups and scattered tools.

Budy builds digital workers for sales teams: AI teammates that handle follow-ups, scheduling, and lead management across CRMs, calendars, and inboxes. Instead of adding another layer of software, Budy went zero UI-UX and focused on enabling sales teams in an industry with 99% inbound leads to manage their cold leads better.

Today, Samay joins Siddhartha (Partner at Neon Fund, and a proud investor in Budy) and shares his journey from building robots to building digital teammates for a very non-traditional industry.

00:00 – Trailer
01:00 – What Budy is building for senior care
05:15 – Real Estate × Healthcare × Hospitality
06:25 – Zero UI UX technology
10:09 – AI teammates not assistants
12:03 – How sales teams operated before Budy
12:51 – A ninety nine percent inbound industry
13:45 – The real cost of senior care homes
15:35 – Can a CRM alone solve this
17:55 – Direct benefits of a digital worker
20:49 – Two founder archetypes
22:06 – Can lights out operations become real
24:49 – What Samay underestimated about the market
25:58 – The largest players in the industry
29:07 – Treat your customer’s company like your own
30:52 – Entrepreneurship as a profession
35:36 – Unlearnings as a second time founder
37:30 – What digital workers actually are
39:47 – The original promise of SaaS
42:04 – The next decade of digital workers
45:25 – Digital workers that read best selling books
47:26 – Will Claude build CRMs
49:38 – Business etiquette across the world
55:18 – How a second time founder chooses investors
01:01:00 – Why every team member should track the P and L
01:02:14 – How Samay’s view on growth evolved

-------------

India’s talent has built the world’s tech—now it’s time to lead it.
This mission goes beyond startups. It’s about shifting the center of gravity in global tech to include the brilliance rising from India.

What is Neon Fund?
We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that’s done it before.
Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we’re doing it all at Neon.

-------------

Check us out on:
Website: https://neon.fund/
Instagram: https://www.instagram.com/theneonshoww/
LinkedIn: https://www.linkedin.com/company/beneon/
Twitter: https://x.com/TheNeonShoww

Connect with Siddhartha on:
LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/
Twitter: https://x.com/siddharthaa7

-------------

This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.

Send us Fan Mail